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In this paper, we present error concealment approaches for two different four-description MDC architectures.
Finally, we present error vector magnitude (EVM) and bit error ratio (BER) measurement-based results for different data rates.
It is noted, however, that the present error estimation of the pointing correction is based on assumed ideal conditions.
We present error analysis of the proposed scheme for the case of nonsymmetric discretization of the dispersive term.
Since the present error prioritization problem involves multiple criteria and qualitative value judgments for their measurement, it is felt that the AHP is the right tool for application.
Step 4: Cumulative cycle error is computed by adding the present error to E. Step 5: The training cycle is completed.
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These three methods present errors of less than 5%, involve low to medium cost, and the maintenance operations are simple.
Figure 6 presents error in terms of cumulative distribution function (CDF).
The last section presents error estimates via wavelet dual least squares method approximation.
The presented error bars correspond to standard errors of 4, 8, 10, 11, 12 and 21 (Table 4).
The presented error bars show the standard error of the mean (SEM).
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